AI-Driven Digital Twins

We leverage the concept of digital twins to establish AI-based digital twin models for monitoring, analyzing, and predicting the performance of physical equipment. By simply inputting machine parameters, the model can predict the most suitable KPI performance for the current situation, achieving energy-saving goals while enhancing equipment operational efficiency. Moreover, with explainable AI, the system identifies key parameters to focus on when efficiency declines. 

In addition, we provide a user-friendly dashboard that visualizes data, enabling users to make decisions more flexibly. By integrating with LLM, users can directly access real-time data insights through a Q&A platform. This enables our clients to access the information they need more effectively, quickly, and intuitively.